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基于无创生物电抗的被动抬腿试验预测液体反应性。

Fluid responsiveness predicted by noninvasive bioreactance-based passive leg raise test.

机构信息

Département d'anesthésie-Réanimation, GH Pitié-Salpêtrière, Assistance Publique Hôpitaux de Paris (AP-HP), UMPC Université Paris 06, 75013, Paris, France.

出版信息

Intensive Care Med. 2010 Nov;36(11):1875-81. doi: 10.1007/s00134-010-1990-6. Epub 2010 Jul 28.

Abstract

PURPOSE

To study the feasibility of predicting fluid responsiveness (FR) by passive leg raising (PLR) using a Bioreactance-based noninvasive cardiac output monitoring device (NICOM).

METHOD

This prospective, two-center study included 75 consecutive intensive care unit (ICU) adult patients immediately after cardiac surgery. NICOM was used to continuously record cardiac output (CO) at baseline, during a PLR, and then during a 500 ml i.v. rapid colloid infusion. We estimated the precision of NICOM at baseline to derive the least minimum significant change (LMSC) in CO. We studied the predictability of PLR for FR by systematic analysis of different categorizations of PLR and FR, based on percentage change in CO (from 0 to 20%).

RESULTS

The LMSC was 8.85%. CO was 4.17 ± 1.04 L min⁻¹ at baseline, 4.38 ± 1.14 L min⁻¹ during PLR, 4.16 ± 1.08 L min⁻¹ upon return to baseline, and 4.85 ± 1.41 L min⁻¹ after fluid infusion. The change in CO following fluid bolus was highly correlated with the change in CO following PLR: y = 0.91x + 4.3, r = 0.77. The Pearson correlation coefficient showed that the best pair of thresholds was found for PLR ≥ 0% predicting FR ≥ 0%. Using this pair of thresholds, PLR had 88% sensitivity and 100% specificity for predicting FR. When we restricted the analysis to change in CO > LMSC, the best pair of thresholds was obtained for PLR > 9% predicting FR > 9%. Using this pair of thresholds, PLR sensitivity was reduced to 68% and specificity to 95%.

CONCLUSIONS

In this specific population of patients, it is clinically valid to use the bioreactance-based NICOM system to predict FR from changes in CO during PLR.

摘要

目的

研究使用基于生物电阻抗的无创心输出量监测设备(NICOM)通过被动抬腿(PLR)预测液体反应性(FR)的可行性。

方法

本前瞻性、双中心研究纳入了心脏手术后即刻的 75 例连续重症监护病房(ICU)成年患者。使用 NICOM 连续记录基线时、PLR 期间和 500ml 静脉快速胶体输注期间的心输出量(CO)。我们估计 NICOM 在基线时的精度,以得出 CO 的最小有意义变化(LMSC)。我们通过系统分析基于 CO 百分比变化(0 至 20%)的不同 PLR 和 FR 分类,研究 PLR 对 FR 的可预测性。

结果

LMSC 为 8.85%。基线时 CO 为 4.17±1.04L/min,PLR 时为 4.38±1.14L/min,回到基线时为 4.16±1.08L/min,输液后为 4.85±1.41L/min。液体冲击后 CO 的变化与 PLR 后 CO 的变化高度相关:y=0.91x+4.3,r=0.77。Pearson 相关系数表明,PLR≥0%预测 FR≥0%时,最佳阈值对为 0%。使用该阈值对,PLR 预测 FR 的敏感性为 88%,特异性为 100%。当我们将分析限制在 CO 变化> LMSC 时,PLR>9%预测 FR>9%时获得了最佳阈值对。使用该阈值对,PLR 的敏感性降低至 68%,特异性提高至 95%。

结论

在这一特定患者群体中,使用基于生物电阻抗的 NICOM 系统从 PLR 期间 CO 的变化预测 FR 具有临床有效性。

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